Infrared database intelligent diagnosis management system for charged equipment

Abstract

The invention discloses an infrared database intelligent diagnosis management system for charged equipment. The system comprises a transformer station operation platform, an intelligent data diagnosis processing center, an infrared dedicated engineer operation platform and a high-level inquiry monitoring platform. A supervisor and an infrared dedicated engineer can log on a remote WEB browser endto view infrared detection reports uploaded by a transformer station, know an equipment operation situation, view historical data, defect reports and equipment historical temperature trend curves, perform secondary diagnosis on equipment defects by using an intelligent diagnosis and auxiliary decision system, query by taking equipment of a certain factory as a condition to obtain all infrared charts of defective equipment, and provide reference for later purchase by comparing the quality of the equipment of different factories laterally. Transformer station staff can handle defects in time, upload the infrared detection reports and generated historical temperature trench curves, receive a superior indication, and perform emergency processing in time.

Description

[0001] technical field [0002] The invention relates to an electric equipment operation monitoring technology, in particular to an intelligent diagnostic management system of an infrared database of an electrified equipment for monitoring and managing the overheating of the electric equipment. [0003] Background technique [0004] At present, the overheating fault modes of most electrical equipment are divided into short circuit fault, lightning intrusion, overload, internal insulator damage, conductive circuit joint fault and so on. Overheating faults can cause conductors to heat up, blow out, damage equipment, and be forced to stop operating. After a failure, the maintenance cost is high and the economic loss is serious. Infrared diagnosis can detect hidden functional overheating faults of electrical equipment, greatly reducing multiple risks. Infrared diagnosis can check the fault information in advance, make the maintenance work in the active position, and reduce th...

AI Technical Summary

Problems solved by technology

[0006] (1) After most substations purchase thermal imaging cameras, considering that thermal imaging cameras are relatively expensive detection equipment, most personnel in substations rarely use thermal imaging cameras for detection. At the same time, some Substation personnel do not know much about the effect and importance of infrared thermal imaging cameras in substation detection, which leads to very low frequency of use of infrared thermal imaging cameras in substations, and does not give full play to the detection function of infrared thermal imaging cameras

[0007] (2) There are many substations under the power grid of each provincial bureau and municipal bureau, but the senior dedicated engineer of the provincial / municipal power grid has not been able to grasp the operation status of each substation in time, and cannot analyze or supervise the infrared report of the current substation in time. Infrared detection personnel cannot send the current infrared report to the senior engineer of the provincial / municipal power grid in time, which prevents many faults from being reported in time, so that the provincial or municipal power grid cannot take rescue measures in time

[0008] (3) The grass-roots personnel of substations who use infrared thermal imaging cameras generally lack professional system training for infrared detection, and the equipment application level is low. When defects in electrical equipment are found, they cannot make reasonable suggestions, and sometimes even make wrong suggestions

Failure to judge the defects of live equipment based on infrared guidelines, resulting in many defects not being discovered in time

[0009] (4) There is no infrared defect image database established, and the defect of the equipment lacks the saved infrared image data, and the historical comparison of the infrared image and data cannot be carried out, resulting in failure to discover the equipment defect in time

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